<html><head><title>Data Scientist - Minneapolis, MN</title></head>
<body><h2>Data Scientist - Minneapolis, MN</h2>
<b>JOB SUMMARY:</b><br/>
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Polaris’ Data Science team works with business leaders across the enterprise to drive optimized strategy using data. The Data Scientist (Front-End) is responsible for creating recommendations for complex business decisions using predictive analytics. In addition to advanced analytics skills, this role is also proficient at integrating and preparing large, varied datasets, designing and implementing production algorithm scoring, and communicating results. Your focus will be on the front-end of the business, optimizing decisions related to customer acquisition and retention, retail inventory position, pricing and promotions, and multi-channel marketing, among others. You are primarily a data scientist but are passionate about developing advanced end-to-end analytics and technology solutions that drive value for our business.<br/>
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<b>ESSENTIAL DUTIES &amp; RESPONSIBILITIES:</b><ul><li>Develop analytical approaches to strategic business decisions</li><li>Extract, cleanse, and combine data from multiple sources and systems</li><li>Perform exploratory and targeted analyses, with a wide variety of statistical methods including: cluster, regression, decision tree/random forest, time series, neural network and others</li><li>Collaborate cross-functionally to arrive at actionable insights</li><li>Synthesize analytic results with business input to drive measurable change</li><li>Effectively communicate technical analyses and results to business management</li><li>Develop and continually improve multi-source data architecture and analytics procedures, systems, workflows</li><li>Contribute to the development of end-to-end data driven solutions</li><li>Integrate and productionalize model results into both cloud and edge computer hardware platforms</li></ul><p><br/>
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SKILLS &amp; KNOWLEDGE REQUIRED:</b></p><ul><li>Masters degree in Applied Statistics/Mathematics, Data or Computer Science, or work experience equivalent</li><li>2+ years of work experience in a predictive analytics-focused role</li><li>Strong knowledge of statistical methods and predictive/analytical modeling techniques and practices</li><li>Experience with data preparation, rationalization, and processing in a cloud environment, Azure a plus</li><li>Highly proficient with one or more data mining/predictive modeling tools: SQL, R, Python</li><li>Highly proficient with one or more data visualization tools: Tableau, Power BI</li><li>Practical understanding of mechanical systems and diverse hardware integration methods both a plus</li></ul></body>
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